Arabic ligatures: Analysis and application in text recognition

Yousef Elarian; Irfan Ahmad; Sameh Awaida; Wasfi Al-Khatib; Abdelmalek Zidouri

doi:10.1109/ICDAR.2015.7333891

Arabic ligatures: Analysis and application in text recognition

Yousef Elarian, Irfan Ahmad, Sameh Awaida, Wasfi Al-Khatib, Abdelmalek Zidouri

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

11 Scopus citations

Abstract

The Arabic script allows the replacement of certain character sequences by more compact forms called ligatures. Such ligatures lack a systematic analysis despite their importance in Arabic text recognition research. In this paper, we present analysis of ligatures and compile a comprehensive list of Arabic ligatures. Then, we perform recognition experiments on a benchmark database to show the impact of ligatures annotation in Arabic databases. Finally, we propose several guidelines for the design of representative and compact Arabic databases from the aspect of ligatures.

Original language	English
Title of host publication	13th IAPR International Conference on Document Analysis and Recognition, ICDAR 2015 - Conference Proceedings
Publisher	IEEE Computer Society
Pages	896-900
Number of pages	5
ISBN (Electronic)	9781479918058
DOIs	https://doi.org/10.1109/ICDAR.2015.7333891
State	Published - 20 Nov 2015

Publication series

Name	Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume	2015-November
ISSN (Print)	1520-5363

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Arabic Ligatures
Character Modeling
Database Design
Handwriting Recognition

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Access to Document

10.1109/ICDAR.2015.7333891

Cite this

Elarian, Y., Ahmad, I., Awaida, S., Al-Khatib, W., & Zidouri, A. (2015). Arabic ligatures: Analysis and application in text recognition. In 13th IAPR International Conference on Document Analysis and Recognition, ICDAR 2015 - Conference Proceedings (pp. 896-900). Article 7333891 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2015-November). IEEE Computer Society. https://doi.org/10.1109/ICDAR.2015.7333891

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Elarian, Y, Ahmad, I, Awaida, S, Al-Khatib, W & Zidouri, A 2015, Arabic ligatures: Analysis and application in text recognition. in 13th IAPR International Conference on Document Analysis and Recognition, ICDAR 2015 - Conference Proceedings., 7333891, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, vol. 2015-November, IEEE Computer Society, pp. 896-900. https://doi.org/10.1109/ICDAR.2015.7333891

Arabic ligatures: Analysis and application in text recognition. / Elarian, Yousef; Ahmad, Irfan; Awaida, Sameh et al.
13th IAPR International Conference on Document Analysis and Recognition, ICDAR 2015 - Conference Proceedings. IEEE Computer Society, 2015. p. 896-900 7333891 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2015-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Al-Khatib, Wasfi

AU - Zidouri, Abdelmalek

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AB - The Arabic script allows the replacement of certain character sequences by more compact forms called ligatures. Such ligatures lack a systematic analysis despite their importance in Arabic text recognition research. In this paper, we present analysis of ligatures and compile a comprehensive list of Arabic ligatures. Then, we perform recognition experiments on a benchmark database to show the impact of ligatures annotation in Arabic databases. Finally, we propose several guidelines for the design of representative and compact Arabic databases from the aspect of ligatures.

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Elarian Y, Ahmad I, Awaida S, Al-Khatib W, Zidouri A. Arabic ligatures: Analysis and application in text recognition. In 13th IAPR International Conference on Document Analysis and Recognition, ICDAR 2015 - Conference Proceedings. IEEE Computer Society. 2015. p. 896-900. 7333891. (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR). doi: 10.1109/ICDAR.2015.7333891

Arabic ligatures: Analysis and application in text recognition

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

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Cite this